Founding Data Scientist, Capacity & Pricing Optimization

What you'll do

• Model serverless inference fill rates and traffic sharing to set capacity buffers.
• Develop pricing policies and run experiments and causal studies to optimize utilization and price-yield.
• Optimize GPU matching and capacity sourcing across hardware, vendors, clouds, regions, and commitment terms.

What they ask for

• Master’s degree in Operations Research, Economics, Industrial Engineering, Statistics, or a related quantitative field.
• 7+ years of hands-on experience in pricing, revenue management, or optimization.
• Strong grounding in at least two of stochastic optimization, revenue management and pricing, causal inference and experimental design, or combinatorial optimization.
• Strong coding and optimization skills, with a track record of production-quality models driving business impact.

Nice to have

• Experience on capacity planning, forecasting, or pricing science teams at a cloud provider or marketplace.
• Familiarity with GPU infrastructure and LLM inference economics; experience as a first quantitative hire.

Pay

$250K – $300K (base salary; currency not stated)

Tools

GPU, LLM

AI focus

Optimize capacity, pricing, and hardware allocation for AI inference workloads.